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  • 2015.03_gridmap

    Rights statement: The final publication is available at Springer via http://dx.doi.org/10.1007/s10723-015-9332-0

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Passive network awareness as a means for improved grid scheduling

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Passive network awareness as a means for improved grid scheduling. / Elkhatib, Yehia; Edwards, Chris.
In: Journal of Grid Computing, Vol. 13, No. 2, 01.06.2015, p. 275-291.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Elkhatib, Y & Edwards, C 2015, 'Passive network awareness as a means for improved grid scheduling', Journal of Grid Computing, vol. 13, no. 2, pp. 275-291. https://doi.org/10.1007/s10723-015-9332-0

APA

Elkhatib, Y., & Edwards, C. (2015). Passive network awareness as a means for improved grid scheduling. Journal of Grid Computing, 13(2), 275-291. https://doi.org/10.1007/s10723-015-9332-0

Vancouver

Elkhatib Y, Edwards C. Passive network awareness as a means for improved grid scheduling. Journal of Grid Computing. 2015 Jun 1;13(2):275-291. Epub 2015 Apr 11. doi: 10.1007/s10723-015-9332-0

Author

Elkhatib, Yehia ; Edwards, Chris. / Passive network awareness as a means for improved grid scheduling. In: Journal of Grid Computing. 2015 ; Vol. 13, No. 2. pp. 275-291.

Bibtex

@article{06b459086f4644d9a0b0aa41b5720eee,
title = "Passive network awareness as a means for improved grid scheduling",
abstract = "Grids enable sharing resources of heterogeneous nature and administration. In such distributed systems, the network is usually taken for granted which is potentially problematic due to the complexity and unpredictability of public networks that typically underlie grids. This article introduces GridMAP, a mechanism for considering the network state for enhancing grid scheduling. Network measurements are collected in a passive manner from a user-centric vantage point. This mechanism has been evaluated on a production e-science grid infrastructure, with results showing the ability of GridMAP to improve grid scheduling with minimal network, computational and deployment overheads.",
keywords = "network awareness, network analysis, network performance prediction, passive network measurement, grid scheduling",
author = "Yehia Elkhatib and Chris Edwards",
note = "The final publication is available at Springer via http://dx.doi.org/10.1007/s10723-015-9332-0",
year = "2015",
month = jun,
day = "1",
doi = "10.1007/s10723-015-9332-0",
language = "English",
volume = "13",
pages = "275--291",
journal = "Journal of Grid Computing",
issn = "1570-7873",
publisher = "Springer Netherlands",
number = "2",

}

RIS

TY - JOUR

T1 - Passive network awareness as a means for improved grid scheduling

AU - Elkhatib, Yehia

AU - Edwards, Chris

N1 - The final publication is available at Springer via http://dx.doi.org/10.1007/s10723-015-9332-0

PY - 2015/6/1

Y1 - 2015/6/1

N2 - Grids enable sharing resources of heterogeneous nature and administration. In such distributed systems, the network is usually taken for granted which is potentially problematic due to the complexity and unpredictability of public networks that typically underlie grids. This article introduces GridMAP, a mechanism for considering the network state for enhancing grid scheduling. Network measurements are collected in a passive manner from a user-centric vantage point. This mechanism has been evaluated on a production e-science grid infrastructure, with results showing the ability of GridMAP to improve grid scheduling with minimal network, computational and deployment overheads.

AB - Grids enable sharing resources of heterogeneous nature and administration. In such distributed systems, the network is usually taken for granted which is potentially problematic due to the complexity and unpredictability of public networks that typically underlie grids. This article introduces GridMAP, a mechanism for considering the network state for enhancing grid scheduling. Network measurements are collected in a passive manner from a user-centric vantage point. This mechanism has been evaluated on a production e-science grid infrastructure, with results showing the ability of GridMAP to improve grid scheduling with minimal network, computational and deployment overheads.

KW - network awareness

KW - network analysis

KW - network performance prediction

KW - passive network measurement

KW - grid scheduling

U2 - 10.1007/s10723-015-9332-0

DO - 10.1007/s10723-015-9332-0

M3 - Journal article

VL - 13

SP - 275

EP - 291

JO - Journal of Grid Computing

JF - Journal of Grid Computing

SN - 1570-7873

IS - 2

ER -